CUED Publications database

Regulator discovery from gene expression time series of malaria parasites: A hierarchical approach

Hernández-Lobato, JM and Dijkstra, T and Heskes, T (2009) Regulator discovery from gene expression time series of malaria parasites: A hierarchical approach. In: UNSPECIFIED.

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Abstract

We introduce a hierarchical Bayesian model for the discovery of putative regulators from gene expression data only. The hierarchy incorporates the knowledge that there are just a few regulators that by themselves only regulate a handful of genes. This is implemented through a so-called spike-and-slab prior, a mixture of Gaussians with different widths, with mixing weights from a hierarchical Bernoulli model. For efficient inference we implemented expectation propagation. Running the model on a malaria parasite data set, we found four genes with significant homology to transcription factors in an amoebe, one RNA regulator and three genes of unknown function (out of the top ten genes considered).

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:29
Last Modified: 18 Aug 2020 12:26
DOI: